Results 81 to 90 of about 89,585 (267)
Achieving the oracle property of OEM with nonconvex penalties
Thepenalised least square estimator of non-convex penalties such as the smoothly clipped absolute deviation (SCAD) and the minimax concave penalty (MCP) is highly nonlinear and has many local optima.
Shifeng Xiong, Bin Dai, Peter Z. G. Qian
doaj +1 more source
Transient Cytoskeletal Anisotropy Encodes Short‐Term Mechanical Memory in Glioblastoma Cells
The same mechanical deformation can produce distinct cytoskeletal states depending on loading history. Experiments and constitutive modeling reveal that transient actin–vimentin anisotropy stores mechanical information and governs short‐term mechanical memory in glioblastoma cells.
Clara Gomez‐Cruz +5 more
wiley +1 more source
Progress on the Failure Mechanisms and Optimization Strategies on Lithium Iron Phosphate
This review centers on LiFeO4 cathodes, outlining their core advantages and performance limitations, then systematically elucidating failure mechanisms, proposing key optimization strategies, and summarizing future research directions that integrate advanced characterization with intelligent design.
Zheng‐Xin Qian +8 more
wiley +1 more source
ABSTRACT Brown and beige adipocytes dissipate energy as heat, yet effective strategies to enhance their mitochondrial efficiency remain limited. Here, we identify Agnuside (AGN) as a selective stabilizer of the complex I assembly factor NDUFAF6. AGN directly binds cytosolic NDUFAF6, suppresses its ubiquitination, prolongs its half‐life, and facilitates
Qingwen Zhao +7 more
wiley +1 more source
Modeling Leukemia in Children Using Phase-type Distribution [PDF]
Background: In this study, with the aim of modeling Leukemia in children using Phase-type distribution, three transitional phases including diagnosis, brain metastasis and testis/ovary metastasis, and one absorotion phase of recovery/death have been ...
Marzieh Mahmoudimanesh +2 more
doaj
We supplement the article of Meng (2006) on the EM algorithm and its applications, providing also an update on its more recent developments and applications. The expectation–maximization algorithm, popularly known as the EM algorithm, is a general-purpose algorithm for maximum-likelihood estimation in a wide variety of situations best described as ...
McLachlan, GJ, Ng, Shu Kay, Nguyen, HD
openaire +2 more sources
This study presents a human Bone (and Bone Marrow)‐on‐a‐Chip model based on native human bone scaffolds and autologous cells. Dynamic perfusion and sequential cell seeding replicate the physiological bone remodeling process in vitro, enabling the long‐term culture of functional, mature bone marrow immune subpopulations.
Nina Stelzer +17 more
wiley +1 more source
This article accentuates the estimation and prediction of a three-parameter exponentiated Gumbel type-II (EGT-II) distribution when the data are progressively type-II (PT-II) censored.
Kousik Maiti, Suchandan Kayal
doaj
A new iterative initialization of EM algorithm for Gaussian mixture models. [PDF]
You J, Li Z, Du J.
europepmc +1 more source
The Information Bottleneck EM Algorithm
Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Gal Elidan, Nir Friedman
openaire +3 more sources

